The National Institutes of Health have awarded the Diffusion MRI in Python (DIPY) project a three-year grant to facilitate the development of new methods for analysis of MRI data and dissemination of these methods through open source software. The grant, awarded through the Collaborative Research in Computational Neuroscience program, will fund a collaboration between researchers […]
By Emily Keller
The University of Washington (UW) eScience Institute has received a five-year, $754,601 grant from the Bill & Melinda Gates Foundation to advance data analytics at organizations serving the homeless in the Puget Sound region, with a focus on educational outcomes.
Through this grant, researchers at the UW will collaborate with foundation grantees that focus on […]
By Ariel Rokem, data scientist and Neurohackweek organizer
Forty graduate students, postdocs, research staff and faculty took part in Neurohackweek 2017, including international attendees from Turkey, Russia, Canada, the United Kingdom and Denmark.
The neuroscience conference, which ran Sept. 4 – 8, kicked off with a talk by Russ Poldrack (Stanford University) posing the problems of reproducibility in […]
By Robin Brooks
More than 40 neuroscientists gathered at the University of Washington eScience Institute for the first-ever Neurohackweek, held Sept. 5 – 9. Inspired by AstroHackWeek and previous brainhack.org events, the week was part conference, part summer school (including tutorials on cloud computing with Amazon Web Services, image processing with open source tools, modeling and […]
By Robin Brooks
The University of California, Berkeley Institute for Data Science (BIDS) recently hosted the inaugural ImageXD event, a topical group focused on image processing.
ImageXD offered a unique opportunity for researchers who use images as a primary source of data to gather together to collaborate, problem-solve, network and learn new skills.
A breakout session at the 2015 […]
A team of University of Washington researchers including former eScience postdoctoral fellow Anisha Keshavan, along with senior data scientist Ariel Rokem and affiliate Jason Yeatman have recently published a study titled “Combining citizen science and deep learning to amplify expertise in neuroimaging” in Frontiers in Neuroinformatics.
The team wants to understand how the brain develops during […]